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Automated Analysis of Impact of Scheduling on Performance of Self-stabilizing Protocols

  • Saba Aflaki
  • Borzoo Bonakdarpour
  • Sébastien Tixeuil
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9212)

Abstract

In a concurrent computing system, a scheduler determines at each time which computing task should execute next. Thus, a scheduler has tremendous impact on the performance of the tasks that it orchestrates. Analyzing the impact of scheduling in a distributed setting is a challenging task, as it is concerned with subtle dimensions such as geographical distance of processes and the achievable level of parallelism. In this paper, we propose an automated method based on probabilistic verification for analyzing fault recovery time in distributed self-stabilizing protocols. We exhibit the usefulness of our approach through a large set of experiments that demonstrate the impact of different types of scheduling policies on recovery time of different classes of stabilizing protocols, and the practical efficiency of classical self-stabilizing scheduler transformers.

Keywords

Schedule Policy Randomization Parameter Arbitrary Graph Vertex Coloring Schedule Criterion 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Saba Aflaki
    • 1
  • Borzoo Bonakdarpour
    • 2
  • Sébastien Tixeuil
    • 3
  1. 1.University of WaterlooWaterlooCanada
  2. 2.McMaster UniversityHamiltonCanada
  3. 3.Université Pierre and Marie CurieParisFrance

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